Manager, Autonomy Systems Validation

Responsibilities

• Serve as technical Directly Responsible Individual (DRI) and people leader for systems engineering covering features such as collision detection and response, minimum risk maneuvers (MRM), operating modes and state management, navigation, cloud services, and related subsystems.
• Lead cross-functional systems reviews with Safety, Embodied AI, Simulation, Platform, and Product-driving alignment on requirements, hazards, validation design, and launch readiness from ambiguous early inputs.
• Build and develop a team of senior and staff systems engineers-hiring for systems-design depth, not just test execution; coaching technical DRIs on complex autonomy subsystems.
• Represent the function in executive program reviews, design reviews, and launch readiness forums-communicating technical trade-offs, validation maturity, and evidence gaps to senior leadership.
• Champion systems engineering best practices across the organization: design documentation, hazard traceability, impact analysis, and scalable validation planning-from ad hoc testing to industrialized V&V.
• Drive 0→1 systems design for new autonomy capabilities-rapidly prototyping requirements and validation concepts, gaining cross-functional consensus, and maturing them into baselined specifications under change control.
• Your Skills & Abilities
• Advanced degree in Mechanical Engineering, Aerospace Engineering, Physics, Computer Science, Data Science, or related fields.
• 2+ years of experience leading engineers in a people management or dotted-line technical leadership role.
• Strong foundations in systems engineering including requirements decomposition, interface definition, operating concepts (ConOps), hazard-informed design, and requirements-test-evidence traceability.
• Demonstrated ability to design and review multi-environment V&V strategies spanning simulation, bench/HIL, closed-track, and on-road testing, including sim-to-physical correlation.
• Comfortable working with validation data and metrics; ability to interpret outputs from simulation, test, and monitoring pipelines (Python/SQL familiarity a plus, not the core of the role).
• Excellent communication skills, able to explain complex technical topics in clear, simple language. Ability to tailor messages to engineers, cross-functional partners, and senior le

Benefits

Additional Information

Job Description Hybrid: This role is categorized as remote. Role: As a Manager, Autonomy Systems Engineering & Validation, you will serve as the technical owner for selected automated driving features and autonomy subsystems-translating product intent into integrated operating concepts (ConOps), functional and performance requirements, subsystem boundaries, and verification strategies. You will lead a team of senior systems engineers who define what must be proven, how it maps to the autonomy stack, and what evidence is required to support product launch and continuous over-the-air (OTA) release decisions for next-generation L3+ automated driving capabilities. You will combine chief-engineer-level systems design with people leadership: owning feature and solution requirements from product definition through testable specifications, architecting end-to-end validation strategies across simulation, hardware-in-the-loop (HIL)/bench, closed-track, and on-road environments, and delivering traceable validation evidence that cross-functional partners consume for development, safety case, and release decisions. About the Organization : The Autonomous Vehicle (AV) organization is building the next generation of L3+ automated driving capabilities. Within Software Validation, this team is the systems-design and requirements authority for selected autonomy features and subsystems-turning product and architecture inputs into operating concepts, technical requirements, safety-informed specifications, and verification & validation (V&V) strategies. You will partner with simulation, ML/AI, safety, and platform teams on test execution and tooling; your core responsibility is to define system intent and the evidence needed to prove it at scale.

Your Match

How well this role fits your profile.

Company Intel

What employees say

Worked at General Motors? Share your experience